Civil Structural & Environ Eng: Recent submissions
Now showing items 261-280 of 1410
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Efficient finite element reliability analysis employing surrogate model for seismic fragility curve derivation
(2023)As earthquake damage to structures is considered more serious, the seismic risk assessment of infrastructure is getting more attention. Seismic fragility curves play an important role in predicting seismic losses and making ... -
Validating the current state-of-practice for seismic risk (and resilience) analysis
(2023)Regional risk analysis provides information for decisions made by communities, state and federal agencies, and the insurance industry. Model validation and updating are crucial since inaccurate predictions may lead to ... -
Development of Reliability-Redundancy-Recoverability-based Decision Optimization (R3-DO) for Disaster Resilience of Structural Systems
(2023)To achieve a sufficient level of disaster resilience based on a holistic understanding of the system-level risk, a system-reliability-based evaluation framework was recently proposed. The framework characterizes the disaster ... -
Damage detection and model updating of a steel frame structure by measured strain and acceleration for improving seismic performance assessment
(2023)For risk-informed decision-making on necessary actions such as repair, retrofit, and disaster prevention planning for existing structures, it is important to predict quantitatively the response to a future disturbance like ... -
Decision-support Measure for Resilient Infrastructure Networks Considering Operation Mechanism and Cascading Failure
(2023)While the scale and frequency of disasters increase worldwide, infrastructure networks have become more complex as urbanization progresses. In efforts to maintain the networkﾒs performance through an appropriate decision-making ... -
A data-driven framework to support performance-based early design of buildings: data and methodology
(2023)Achieving resilient and sustainable infrastructure urges developing computational tools to explicitly consider performance objectives in all design and construction stages. The majority of critical decisions are made at ... -
Applied Joint Probabilistic Modeling of Compound Coastal Flood Hazard: An Extension of the Joint Probability Method with Optimal Sampling
(2023)Compound coastal flooding i.e. coastal flooding driven by storm surge, rainfall, and riverine dynamics poses a significant and complex hazard. We present a novel framework for statistical modeling of this hazard as applied ... -
Challenges in Model Identification for Seismic Performance Evaluation of Building Accounting for Uncertainties
(2023)In evaluating the performance of a building, it is important to properly treat various types of uncertainties involved in the evaluation process. In the field of performance-based earthquake engineering, several attempts ... -
COLLAPSE FRAGILITY OF A 5-STOREY CLT STRUCTURE UNDER CHILEAN SUBDUCTION EARTHQUAKE RECORDS
(2023)Mass timber structures have been used in North America, Europe, and Oceania, and it is currently evaluated in Latin America for mid-rise buildings in order to reduce the housing deficit and the contribution of the construction ... -
Effects of Climate Changes and Spatial Soil Moisture Variability on the Geomechanical Response of Segmented Buried Pipes.
(2023)Moisture content of soils as well as the geomechanical soil properties (soil modulus, ﾅ) are affected by seasonal fluctuations in temperature and rainfall. This phenomenon is even more amplified when we consider the climate ... -
Power Distribution Network Type Classification using a Machine Learning Approach
(2023)Power distribution network vulnerability has been a critical component in measuring community resilience under natural disasters. Given overhead power lines exposed to extreme weather events are susceptible to large-scale ... -
A Probabilistic Framework for Post-Disaster Recovery Modeling of Buildings in Developing Countries
(2023)Post-disaster recovery is a significant challenge, especially in developing countries. As a result of various technical, environmental, socioeconomic, political, and cultural factors influencing post-disaster recovery, ... -
Redundancy Analysis of Unbraced Network Arch Bridges
(2023)The redundancy of a structural system is its ability to support loads even after a failure of one or several structural components. Redundancy analysis is vital to assess the safety and reliability of network arch bridges, ... -
Hamiltonian MCMC Based Framework for Time-variant Rare Event Uncertainty Quantification
(2023)Accurate and efficient rare event uncertainty quantification is of ever-increasing significance, including for natural hazard cases characterized by substantial dynamic loads. In this work, our computationally efficient ... -
Determining Probability of Failure of Structures Using Improved Active Learning Method With Kriging Model and Clustering Algorithm
(2023)A major challenge of structural reliability analysis is estimating the failure probability based on a small number of function calls. This issue can be addressed using metamodeling, which approximates a computationally ... -
Copula-based Quadratic Point Estimate Method for probabilistic moments evaluation
(2023)Numerous engineering problems often involve the evaluation of probabilistic moments of quantities of interest (QoI). Several computation techniques exist in the literature for such estimations, with sampling-based methods ... -
Leveraging data-driven approaches to explore the effect of various disaster policies on post-earthquake household relocation decision making
(2023)Earthquake events can cause affected households to relocate. Post-earthquake relocation disrupts displaced householdsﾒ social ties as well as their access to affordable services. Simulation models that capture post-earthquake ... -
Addressing the pitfalls of risk-based methods for fire safety design of structures
(2023)Risk-based design and assessment methods are gaining popularity in the context of performance-based structural fire engineering. Nevertheless, they often ignore that there exists a strong dependency between the combustion ... -
Investigation of Inspection and Maintenance Optimization with Deep Reinforcement Learning in Absence of Belief States
(2023)Maintenance of deteriorating infrastructure is a major cost factor for owners and society. Therefore, efficient inspection and maintenance (I&M) strategies are of paramount importance. Deep reinforcement learning (DRL) has ... -
Data-driven uncertainty reduction in geotechnical engineering: Optimal preloading of a road embankment
(2023)A typical geotechnical problem is the design of prefabricated vertical drains (PVD) and pre-loading with surcharge for an embankment on clayey soil. If not designed accordingly, excessive residual settlements might occur ...
